Determining user interests about museum collections

ABSTRACT

Currently, there is an increasing effort to provide various personalized services on museum web sites. This paper presents an approach for determining user interests in a museum collection with the help of an interactive dialog. It uses a semantically annotated collection of the Rijksmuseum Amsterdam to elicit specific user's interests in artists, periods, genres and themes and uses these values to recommend relevant artefacts and related concepts from the museum collection. In the presented prototype, we show how constructing a user profile and applying recommender strategies in this way enable dynamical generation personalized museum tours for different users.

REFERENCES

• 1: Bamshad Mobasher , Robert Cooley , Jaideep Srivastava, Automatic personalization based on Web usage mining, Communications of the ACM, v.43 n.8, p.142-151, Aug. 2000 [doi>10.1145/345124.345169]
• 2: J. Bowen and S. Filippini-Fantoni. Personalization and the web from a museum perspective. In Museums on the Web 2004, 2004.
• 3: Rosalind W. Picard, Affective computing, MIT Press, Cambridge, MA, 1997
• 4: Lloyd Rutledge , Martin Alberink , Rogier Brussee , Stanislav Pokraev , William van Dieten , Mettina Veenstra, Finding the story: broader applicability of semantics and discourse for hypermedia generation, Proceedings of the fourteenth ACM conference on Hypertext and hypermedia, August 26-30, 2003, Nottingham, UK [doi>10.1145/900051.900064]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Information filtering

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods

General Terms:
Design, Documentation, Human Factors, Standardization

Keywords:
museum collections, personalization, recommender systems, semantic browsing, user profiling